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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Tuberculosis Research and Epidemiology
Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,760 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,760 works in the cohort · of 4,299,418page 1 of 76

Labels cover 16 of 3,760 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,760 of 3,760 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Tuberculosis
Madhukar Pai, Marcel A. Behr, David W. Dowdy, Keertan Dheda, Maziar Divangahi, Catharina Boehme +6 more
2016· review· en· Nature Reviews Disease Primers· Medicine
machine prediction:candidate · noneconsensus · none
1,239
citations
affno abstractunlabeled
Tuberculosis
Jennifer Furin, Helen Cox, Madhukar Pai
2019· review· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
889
citations
affunlabeled
Tuberculosis
Alimuddin Zumla, Mario Raviǵlione, Richard Hafner, C. Fordham von Reyn
2013· review· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
697
citations
affunlabeled
Global Trends in Resistance to Antituberculosis Drugs
Marcos Espinal, A László, Lone Simonsen, F Boulahbal, Sang‐Jae Kim, Ana Reniero +6 more
2001· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
675
citations
affunlabeled
Genome plasticity of BCG and impact on vaccine efficacy
Roland Brosch, Stephen V. Gordon, Thierry Garnier, Karin Eiglmeier, Wafa Frigui, Philippe Valenti +14 more
2007· article· en· Proceedings of the National Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
583
citations
afffundunlabeled
Revisiting the timetable of tuberculosis
Marcel A. Behr, Paul H. Edelstein, Lalita Ramakrishnan
2018· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
427
citations

How this was built: Screen · Findings · About